Understanding packet delivery performance in dense wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Loss inference in wireless sensor networks based on data aggregation
Proceedings of the 3rd international symposium on Information processing in sensor networks
Network Tomography of Binary Network Performance Characteristics
IEEE Transactions on Information Theory
A factor graph approach to link loss monitoring in wireless sensor networks
IEEE Journal on Selected Areas in Communications
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Lossy links used in a sensor network affect network performance, and hence need to be detected and repaired [1, 2]. One approach to detect lossy links is that each node monitors the loss rates on its neighboring links and reports them to the sink. This approach, although straightforward, causes large amount of traffic. Another approach to detect lossy links is through end-to-end data that are transmitted periodically from sources to the sink(s) [3, 1, 2]. This end-to-end approach has the advantage of not generating any additional monitoring traffic. The challenge is, however, to develop accurate inference algorithms for lossy link detection based on end-to-end measurements.